摘要
提出基于棱边方向检测的运动自适应去隔行算法,该算法能充分利用图像序列的时间和空间上的相关信息,采用新颖的相邻场运动检测方法区分视频序列中的运动和静止部分.对于运动部分,使用改进的基于棱边方向的边沿自适应插值算法;对于静止部分,采用三点中值滤波插值算法.仿真实验表明:算法无论在画面视觉效果还是视频图像信噪比,均达到良好了效果.
In this paper,a new motion-adaptive de-interlacing algorithm based on edge-dependent interpolation is proposed.The proposed algorithm makes full use of the correlation between temporal and spatial information, adopts the new adjacent motion detection method to identify the motion and static parts in video sequence.The missing pixels in motion part are interpolated by running the edge-dependent algorithm while those in the static part are interpolated by running the median filtering algorithm instead of improving the video resolution.The algorithm simulation results show that the improvement can be found in both subject visual effect and image Peak Signal Noise Ration（PSNR）.
出处
《宁波大学学报（理工版）》
CAS
2010年第3期44-47,共4页
Journal of Ningbo University：Natural Science and Engineering Edition
基金
国家自然科学基金(60972063)
浙江省教育厅科研项目(Y200909912
Y200906750)
关键词
去隔行
运动自适应
棱边方向检测
中值滤波
de-interlacing
motion adaptive
edge-dependent detection
median filtering
